Knowledge Improved Hybrid DNN–KAN Framework for Intrusion Detection in Wireless Sensor Networks

Knowledge Improved Hybrid DNN–KAN Framework for Intrusion Detection in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) are increasingly vulnerable to sophisticated cyber threats, necessitating advanced intrusion detection systems (IDS) that balance high accuracy with interpretability. This paper presents a Knowledge-Improved Hybrid Deep Neural Network-Kolmogorov Arnold Network (DNN-KA...

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Bibliographic Details
Main Authors: M. Sriraghavendra, Muna Elsadig, Ines Hilali Jaghdam, S. Abdel-Khalek, B. Galeebathullah, Salem Alkhalaf
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Intrusion detection system (IDS)
cyber security
deep neural network
Kolmogorov Arnold networks
wireless sensor networks
Online Access:https://ieeexplore.ieee.org/document/11072342/
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https://ieeexplore.ieee.org/document/11072342/

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